AI for Tourism, Hospitality & Retail
Course Overview
Artificial Intelligence (AI) is transforming the tourism, hospitality, and retail industries by enabling businesses to deliver personalised customer experiences, streamline operations, optimise marketing efforts, and improve business performance. This practical two-day programme equips participants with the knowledge and hands-on skills to leverage AI tools such as ChatGPT, Gemini, Microsoft Copilot, Canva AI, and other business applications to enhance guest experiences, increase sales, improve customer service, and make data-driven decisions. Through real-world case studies, interactive workshops, and practical exercises, participants will learn how to apply AI across customer engagement, digital marketing, reservations, retail operations, and service excellence while developing an actionable AI implementation plan for their organisation.
Learning Outcomes
By the end of this programme, participants will be able to:
- Understand the role of AI in tourism, hospitality and retail.
- Create personalised customer experiences using AI.
- Develop AI-assisted marketing campaigns and promotional content.
- Improve customer communication and service quality with AI.
- Enhance operational efficiency through AI-powered workflows.
- Analyse customer behaviour and business performance using AI insights.
- Apply prompt engineering techniques for industry-specific tasks.
- Identify opportunities to increase revenue through personalisation and automation.
- Implement AI responsibly while maintaining a human-centred service approach.
- Develop a practical AI implementation roadmap to improve organisational performance
Who Should Attend
- Tourism Professionals,
- Hotel Managers,
- Front Office Teams,
- Customer Service Personnel,
- Retail Managers,
- Sales & Marketing Teams,
- Business Owners,
- Destination Managers and
- Entrepreneurs
Course Content
DAY 1 : AI FOR CUSTOMER ENGAGEMENT, SALES & MARKETING
Module 1: Introduction to AI in Tourism, Hospitality & Retail
- What is Artificial Intelligence?
- Generative AI vs Predictive AI
- AI trends in tourism, hospitality and retail
- Benefits of AI adoption
- Opportunities and challenges
- Ethical and responsible AI use
- Overview of AI tools:
- ChatGPT
- Gemini
- Canva AI
Activity
- AI Readiness Assessment
- Discussion: AI Opportunities in Your Organisation
Module 2: AI for Customer Experience & Personalisation
- Understanding customer journeys
- AI-powered personalisation
- Guest profiling
- Customer segmentation
- Personalised recommendations
- Loyalty programme enhancement
- AI-powered upselling and cross-selling
Workshop
Design a personalised customer journey using AI for a hotel, tourism attraction or retail business.
Module 3: AI for Sales & Digital Marketing
- Creating buyer personas
- AI-assisted campaign planning
- Social media content generation
- SEO content creation
- Email marketing
- Promotional campaigns
- Product and destination storytelling
- AI-powered advertising concepts
Hands-on Exercise
Participants create:
- Social media campaign
- Promotional email
- Product or destination description
- Marketing calendar
Module 4: AI for Customer Communication
- AI-generated email responses
- WhatsApp communication
- Reservation enquiries
- Handling customer questions
- Review response generation
- Multilingual communication support
Workshop
Generate professional responses for:
- Booking enquiries
- Customer complaints
- Reservation changes
- Product enquiries
- Travel recommendations
Module 5: AI for Content Creation
- Destination marketing
- Hotel promotion
- Retail product descriptions
- Blog writing
- Video script creation
- Canva AI for marketing materials
- AI image generation concepts
- Storytelling techniques
Activity
Develop a promotional campaign for a tourism destination, hotel or retail store using AI.
DAY 2 : AI FOR OPERATIONS, CUSTOMER SERVICE & BUSINESS GROWTH
Module 6: AI for Customer Service Excellence
- Complaint handling
- Frequently Asked Questions (FAQ)
- AI knowledge assistants
- Response consistency
- Customer sentiment analysis
Module 7: AI for Operational Efficiency
- Reservation management support
- Inventory optimisation
- Demand forecasting
- Workforce scheduling
- Housekeeping and service planning
- Retail stock management
- Procurement support
Case Study
Identify operational processes that can be improved with AI.
Module 8: AI for Business Intelligence & Decision-Making
- Customer behaviour analysis
- Sales forecasting
- Market trend analysis
- Competitor monitoring
- Business dashboards
- Predictive analytics
- Performance reporting
- Data-driven decision-making
Workshop
Analyse customer and sales data with AI to identify trends and recommend actions.
Module 9: Prompt Engineering for Tourism, Hospitality & Retail
- Prompt writing fundamentals
- Role-based prompting
- Context-rich prompting
- Iterative refinement
- Industry-specific prompt templates
- Creating reusable prompt libraries
- Common prompting mistakes
Hands-on Exercise
Develop a prompt library for:
- Marketing
- Customer service
- Reservations
- Sales
- Retail operations
- Management reporting
Practical Activities Throughout the Programme
- AI Readiness Assessment
- Customer Journey Mapping
- AI-Powered Marketing Campaign Design
- Social Media & Content Creation Workshop
- Customer Communication Practice
- Complaint Handling Simulation
- Operations Improvement Case Study
- Sales & Customer Data Analysis
- Prompt Engineering Lab
